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Contributions to numerical differentiation using orthogonal polynomials and its application to fault detection and parameter identification
Abstract This thesis investigates numerical differentiation methods based on orthogonal polynomials and applies the methods to fault detection and parameter estimation problems. Time-domain and frequency-domain analyses of the differentiators are provided. Tuning guidelines and real-time implementations are proposed.
期刊介绍：
Automatisierungstechnik (AUTO) publishes articles covering the entire range of automation technology: development and application of methods, the operating principles, characteristics, and applications of tools and the interrelationships between automation technology and societal developments. The journal includes a tutorial series on "Theory for Users," and a forum for the exchange of viewpoints concerning past, present, and future developments. Automatisierungstechnik is the official organ of GMA (The VDI/VDE Society for Measurement and Automatic Control) and NAMUR (The Process-Industry Interest Group for Automation Technology).
Topics
control engineering
digital measurement systems
cybernetics
robotics
process automation / process engineering
control design
modelling
information processing
man-machine interfaces
networked control systems
complexity management
machine learning
ambient assisted living
automated driving
bio-analysis technology
building automation
factory automation / smart factories
flexible manufacturing systems
functional safety
mechatronic systems.
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